In EDS ansehen

Undiscounted control policy generation for continuous-valued optimal control by approximate dynamic programming

Gespeichert in:
Bibliographische Detailangaben
Titel: Undiscounted control policy generation for continuous-valued optimal control by approximate dynamic programming
Autoren: Lock, Jonathan, 1987, McKelvey, Tomas, 1966
Quelle: International Journal of Control UCPADP Matlab implementation. 95(10):2854-2864
Schlagwörter: Approximate dynamic programming, undiscounted infinite-horizon, optimal control, control policy
Beschreibung: We present a numerical method for generating the state-feedback control policy associated with general undiscounted, constant-setpoint, infinite-horizon, nonlinear optimal control problems with continuous state variables. The method is based on approximate dynamic programming, and is closely related to approximate policy iteration. Existing methods typically terminate based on the convergence of the control policy and either require a discounted problem formulation or demand the cost function to lie in a specific subclass of functions. The presented method extends on existing termination criteria by requiring both the control policy and the resulting system state to converge, allowing for use with undiscounted cost functions that are bounded and continuous. This paper defines the numerical method, derives the relevant underlying mathematical properties, and validates the numerical method with representative examples. A MATLAB implementation with the shown examples is freely available.
Dateibeschreibung: electronic
Zugangs-URL: https://research.chalmers.se/publication/524715
https://research.chalmers.se/publication/523565
https://research.chalmers.se/publication/524551
https://research.chalmers.se/publication/524715/file/524715_Fulltext.pdf
Datenbank: SwePub
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://research.chalmers.se/publication/524715#
    Name: EDS - SwePub (s4221598)
    Category: fullText
    Text: View record in SwePub
  – Url: https://resolver.ebscohost.com/openurl?sid=EBSCO:edsswe&genre=article&issn=00207179&ISBN=&volume=95&issue=10&date=20220101&spage=2854&pages=2854-2864&title=International Journal of Control UCPADP Matlab implementation&atitle=Undiscounted%20control%20policy%20generation%20for%20continuous-valued%20optimal%20control%20by%20approximate%20dynamic%20programming&aulast=Lock%2C%20Jonathan&id=DOI:10.1080/00207179.2021.1939892
    Name: Full Text Finder
    Category: fullText
    Text: Full Text Finder
    Icon: https://imageserver.ebscohost.com/branding/images/FTF.gif
    MouseOverText: Full Text Finder
  – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Lock%20J
    Name: ISI
    Category: fullText
    Text: Nájsť tento článok vo Web of Science
    Icon: https://imagesrvr.epnet.com/ls/20docs.gif
    MouseOverText: Nájsť tento článok vo Web of Science
Header DbId: edsswe
DbLabel: SwePub
An: edsswe.oai.research.chalmers.se.b69f5cf4.f1e5.4d78.852f.c8df0ad35229
RelevancyScore: 1011
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 1011.01770019531
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Undiscounted control policy generation for continuous-valued optimal control by approximate dynamic programming
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Lock%2C+Jonathan%22">Lock, Jonathan</searchLink>, 1987<br /><searchLink fieldCode="AR" term="%22McKelvey%2C+Tomas%22">McKelvey, Tomas</searchLink>, 1966
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <i>International Journal of Control UCPADP Matlab implementation</i>. 95(10):2854-2864
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Approximate+dynamic+programming%22">Approximate dynamic programming</searchLink><br /><searchLink fieldCode="DE" term="%22undiscounted+infinite-horizon%22">undiscounted infinite-horizon</searchLink><br /><searchLink fieldCode="DE" term="%22optimal+control%22">optimal control</searchLink><br /><searchLink fieldCode="DE" term="%22control+policy%22">control policy</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: We present a numerical method for generating the state-feedback control policy associated with general undiscounted, constant-setpoint, infinite-horizon, nonlinear optimal control problems with continuous state variables. The method is based on approximate dynamic programming, and is closely related to approximate policy iteration. Existing methods typically terminate based on the convergence of the control policy and either require a discounted problem formulation or demand the cost function to lie in a specific subclass of functions. The presented method extends on existing termination criteria by requiring both the control policy and the resulting system state to converge, allowing for use with undiscounted cost functions that are bounded and continuous. This paper defines the numerical method, derives the relevant underlying mathematical properties, and validates the numerical method with representative examples. A MATLAB implementation with the shown examples is freely available.
– Name: Format
  Label: File Description
  Group: SrcInfo
  Data: electronic
– Name: URL
  Label: Access URL
  Group: URL
  Data: <link linkTarget="URL" linkTerm="https://research.chalmers.se/publication/524715" linkWindow="_blank">https://research.chalmers.se/publication/524715</link><br /><link linkTarget="URL" linkTerm="https://research.chalmers.se/publication/523565" linkWindow="_blank">https://research.chalmers.se/publication/523565</link><br /><link linkTarget="URL" linkTerm="https://research.chalmers.se/publication/524551" linkWindow="_blank">https://research.chalmers.se/publication/524551</link><br /><link linkTarget="URL" linkTerm="https://research.chalmers.se/publication/524715/file/524715_Fulltext.pdf" linkWindow="_blank">https://research.chalmers.se/publication/524715/file/524715_Fulltext.pdf</link>
PLink https://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsswe&AN=edsswe.oai.research.chalmers.se.b69f5cf4.f1e5.4d78.852f.c8df0ad35229
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/00207179.2021.1939892
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 2854
    Subjects:
      – SubjectFull: Approximate dynamic programming
        Type: general
      – SubjectFull: undiscounted infinite-horizon
        Type: general
      – SubjectFull: optimal control
        Type: general
      – SubjectFull: control policy
        Type: general
    Titles:
      – TitleFull: Undiscounted control policy generation for continuous-valued optimal control by approximate dynamic programming
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Lock, Jonathan
      – PersonEntity:
          Name:
            NameFull: McKelvey, Tomas
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 00207179
            – Type: issn-print
              Value: 13665820
            – Type: issn-locals
              Value: SWEPUB_FREE
            – Type: issn-locals
              Value: CTH_SWEPUB
          Numbering:
            – Type: volume
              Value: 95
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: International Journal of Control UCPADP Matlab implementation
              Type: main
ResultId 1